Optimal droop control placement in distribution network via an exact OPF relaxation method

TL;DR

This paper presents a convex optimization approach using an exact OPF relaxation to optimally place droop controllers in distribution networks with renewable energy sources, balancing costs and system constraints.

Contribution

It introduces a novel MISOCP formulation with an augmented relaxation method for optimal droop controller placement, improving accuracy and convexity.

Findings

The proposed method effectively minimizes costs while respecting system constraints.

It outperforms alternative approaches in placement accuracy and computational efficiency.

Validated on IEEE 34-bus network with promising results.

Abstract

In the last decade, the integration of Renewable Energy Sources (RES) in distribution networks has been constantly increasing due to their many technical, economical, and environmental benefits. However, the large-scale penetration of RESs is limited by the grid security constraints, e.g., voltage and current limits. The control of inverter-interfaced RESs can guarantee to comply with those constraints while preserving the RESs performance. However, the installation of additional controllable converter units introduces supplementary investment costs and has therefore to be limited. In this paper, a Mixed-Integer Second-Order Cone (MISOCP) optimization problem is developed to optimally place the Q-V and P-V droop controllers for the RES converters. The objectives of the optimization problem are to minimize investment costs, maintenance costs, and the cost of energy purchase from the grid subject to the system constraints. To provide an accurate and convex formulation of these constraints, we adapt an augmented relaxation method, recently proposed to address the optimal power flow problem in radial distribution networks. Our method is tested on a standard IEEE 34-bus network and the results are compared to those provided by alternative approaches.